Ming-Yang Wang

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In this paper, the machine learning tools were used to identify key features influencing citation impact. Both the papers’ external and quality information were considered in constructing papers’ feature space. Based on the feature space, the soft fuzzy rough set was used to generate a series of associated feature subsets. Then, the KNN classifier was used(More)
This study investigates the knowledge diffusion patterns of Nanoscience & Nanotechnology (N&N) by analyzing the overall research interactions between N&N and nano-related subjects through citation analysis. Three perspectives were investigated to achieve this purpose. Firstly, the overall research interactions were analyzed to identify the dominant driving(More)
In this paper, we discuss the application of the data mining tools to identify typical features for highly cited papers (HCPs). By integrating papers’ external features and quality features, the feature space used to model HCPs was established. Then, a series of predictor teams were extracted from the feature space with rough set reduction framework. Each(More)
Journal self-citations strongly affect journal evaluation indicators (such as impact factors) at the mesoand micro-levels, and therefore they are often increased artificially to inflate the evaluation indicators in journal evaluation systems. This coercive self-citation is a form of scientific misconduct that severely undermines the objective authenticity(More)
Preferential attachment mechanism (PAM) is considered to be one of the kernel ingredients in forming the scale-free topology of complex networks. In our previous work, we investigated the PAM for a typical real-world complex network—citation network by considering the dynamic citation properties in nodes' in-degree. And the short-term preferential(More)